Using FCA to Suggest Refactorings to Correct Design Defects. Moha, N., Rezgui, J., Gu�h�neuc, Y., Valtchev, P., & El Boussaidi, G. In Yahia, S. B. & Nguifo, E. M., editors, Proceedings of the 4<sup>th</sup> International Conference on Concept Lattices and their Applications (CLA), pages 297–302, September, 2006. IEEE CS Press. 6 pages. Short paper.
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Paper abstract bibtex
Paper abstract bibtex Design defects are poor design choices resulting in a hard-to- maintain software, hence their detection and correction are key steps of a disciplined software process aimed at yielding high-quality software artifacts. While modern structure- and metric-based techniques enable precise detection of design defects, the correction of the discovered defects, e.g., by means of refactorings, remains a manual, hence error-prone, activity. As many of the refactorings amount to re-distributing class members over a (possibly extended) set of classes, formal concept analysis (FCA) has been successfully applied in the past as a formal framework for refactoring exploration. Here we propose a novel approach for defect removal in object-oriented programs that combines the effectiveness of metrics with the theoretical strength of FCA. A case study of a specific defect, the Blob, drawn from the Azureus project illustrates our approach.
@INPROCEEDINGS{Moha06-CLA-RefactoringSuggestion,
AUTHOR = {Naouel Moha and Jihene Rezgui and Yann-Ga�l Gu�h�neuc and
Petko Valtchev and El Boussaidi, Ghizlane},
BOOKTITLE = {Proceedings of the 4<sup>th</sup> International Conference on Concept Lattices and their Applications (CLA)},
TITLE = {Using FCA to Suggest Refactorings to Correct Design
Defects},
YEAR = {2006},
OPTADDRESS = {},
OPTCROSSREF = {},
EDITOR = {Sadok Ben Yahia and Engelbert Mephu Nguifo},
MONTH = {September},
NOTE = {6 pages. Short paper.},
OPTNUMBER = {},
OPTORGANIZATION = {},
PAGES = {297--302},
PUBLISHER = {IEEE CS Press},
OPTSERIES = {},
OPTVOLUME = {},
KEYWORDS = {Topic: <b>Code and design smells</b>, Venue: <c>CLA</c>},
URL = {http://www.ptidej.net/publications/documents/CLA06.doc.pdf},
PDF = {http://www.ptidej.net/publications/documents/CLA06.ppt.pdf},
ABSTRACT = {Design defects are poor design choices resulting in a
hard-to- maintain software, hence their detection and correction are
key steps of a disciplined software process aimed at yielding
high-quality software artifacts. While modern structure- and
metric-based techniques enable precise detection of design defects,
the correction of the discovered defects, e.g., by means of
refactorings, remains a manual, hence error-prone, activity. As many
of the refactorings amount to re-distributing class members over a
(possibly extended) set of classes, formal concept analysis (FCA) has
been successfully applied in the past as a formal framework for
refactoring exploration. Here we propose a novel approach for defect
removal in object-oriented programs that combines the effectiveness
of metrics with the theoretical strength of FCA. A case study of a
specific defect, the \textit{Blob}, drawn from the Azureus project
illustrates our approach.}
}Downloads: 0
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